Relevant bibliographies by topics / Predictive sliding mode control

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  2. Dissertations / Theses
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Academic literature on the topic 'Predictive sliding mode control'

Author: Grafiati
Published: 5 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Predictive sliding mode control"

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Song, Chonghui. "Optimal Control Algorithm of Constrained Fuzzy System Integrating Sliding Mode Control and Model Predictive Control." Mathematical Problems in Engineering 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/897853.

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The sliding mode control and the model predictive control are connected by the value function of the optimal control problem for constrained fuzzy system. New conditions for the existence and stability of a sliding mode are proposed. Those conditions are more general conditions for the existence and stability of a sliding mode. When it is applied to the controller design, the design procedures are different from other sliding mode control (SMC) methods in that only the decay rate of the sliding mode motion is specified. The obtained controllers are state-feedback model predictive control (MPC) and also SMC. From the viewpoint of SMC, sliding mode surface does not need to be specified previously and the sliding mode reaching conditions are not necessary in the controller design. From the viewpoint of MPC, the finite time horizon is extended to the infinite time horizon. The difference with other MPC schemes is that the dependence on the feasibility of the initial point is canceled and the control schemes can be implemented in real time. Pseudosliding mode model predictive controllers are also provided. Closed loop systems are proven to be asymptotically stable. Simulation examples are provided to demonstrate proposed methods.
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Chen, Yu, Guang Li, Chao Yang Dong, and Qing Wang. "Sliding Mode Predictive Control Method for Attitude Control of Networked Launch Vehicle." Key Engineering Materials 467-469 (February 2011): 962–67. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.962.

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A novel adaptive fuzzy sliding mode predictive control (AFSMPC) method for solving the networked launch vehicle attitude control system with network-induced delay, uncertain parameters and outer disturbances is proposed in this paper for the attitude stabilization of the networked launch vehicle control system. The proposed sliding mode surface includes a predictor to compensate for the network-induced delay of the NCS. Then, for the networked Launch vehicle attitude control system with uncertain parameters and outer disturbances, a total sliding-mode control system is proposed, which is designed without the reaching phase of a conventional sliding-mode control. In order to attenuate the chattering phenomena brought by the proposed control, a fuzzy logic system is designed to mimic the good behavior of a total sliding-mode predictive control system. Finally, Simulation results show that the proposed control scheme is effective.
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Xiao, Ling Fei, Shao Dong Duan, and Tao Shen. "Time-Varying Sliding Mode Control for Discrete-Time Nonlinear Uncertain Coupled Systems via Sliding Mode Prediction." Applied Mechanics and Materials 29-32 (August 2010): 2164–69. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.2164.

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In this paper, a novel time-varying sliding mode control (SMC) algorithm based on sliding mode prediction for a class of discrete-time nonlinear uncertain coupled systems is presented. After giving a kind of time-varying sliding mode function, a sliding mode prediction model is used to predict the future information of sliding mode. By employing feedback correction and receding horizon optimization approaches which are extensively applied in predictive control strategy, the desired discrete-time variable structure control law is obtained. Under the influence of uncertainties whose boundaries are unknown, the closed-loop systems are proofed to be robustly stable. Numerical simulation results illustrate that compared with conventional SMC method, under the algorithm proposed in this paper, chattering is eliminated, the control signals have smaller peak values, and the closed-loop system possesses stronger robustness.
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Kong, Delin, Haiwei Cai, and Wenkai Zeng. "Fast Terminal Sliding-Mode Predictive Speed Controller for Permanent-Magnet Synchronous Motor Drive Systems." Energies 17, no. 15 (2024): 3767. http://dx.doi.org/10.3390/en17153767.

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This paper proposes a kind of discrete-time sliding-mode predictive control (SMPC) based on a nonlinear sliding function for permanent-magnet synchronous motors’ (PMSMs’) speed control to improve the convergence performance. Compared with traditional sliding-mode predictive control based on a linear sliding function, the proposed SMPC has a faster convergence rate thanks to the design of a nonlinear fast terminal sliding function. Moreover, one-step prediction is employed, which greatly simplifies the algorithm and improves the real-time performance of its operation. The sliding state will follow the expected trajectory of a predefined sliding-mode reaching law. The stability and convergence performance of the proposed method is analyzed. The results of the theoretical analysis, simulations, and experiments indicate that the proposed method has excellent convergence performance and robustness.
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Ooi, W. X., A. W. Hermansson, and C. H. Lim. "Model Predictive Control – Sliding Mode Control of a pH system." IOP Conference Series: Materials Science and Engineering 1257, no. 1 (2022): 012036. http://dx.doi.org/10.1088/1757-899x/1257/1/012036.

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Abstract This paper studies the feasibility of using discrete sliding mode controller (SMC) to achieve offset-free control of nonlinear processes in the presence of disturbances. The performance of the SMC is compared to a multiple model predictive controller (MMPC) studying the ability of set-point tracking using the pH system as a case study. The results presented from the comparison show that SMC can perform offset-free control of a pH system, with the major drawback being slow response as well as oscillation at some pH values. Finally, a design of a combination between MMPC and SMC (MMPC-SMC) is proposed, with MMPC carrying out basic control response while the SMC fulfils the role of eliminating the offset. However, the inaccurate reading in the MATLAB simulation model does not generate the expected results on the pH control. Therefore, the modification on the MATLAB models is required to achieve the improved control system on the offset-free behaviour for the set-point tracking.
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Camacho, Oscar. "A PREDICTIVE APPROACH BASED-SLIDING MODE CONTROL." IFAC Proceedings Volumes 35, no. 1 (2002): 381–85. http://dx.doi.org/10.3182/20020721-6-es-1901.00632.

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Zhou, Weihong, Zhe Song, Xi Xiao, Yougui Guo, and Yu Mo. "Sliding Mode Speed Control for PMSM Based on Model Predictive Current." Electronics 13, no. 13 (2024): 2561. http://dx.doi.org/10.3390/electronics13132561.

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To enhance the dynamic performance and disturbance rejection capability of the permanent magnet synchronous motor speed control system, a novel speed control method based on a novel sliding mode control (NSMC) and load torque observer is proposed on the basis of model predictive current control (MPCC) with a sliding mode disturbance observer. First, on the basis of MPCC, the influence of parameters such as resistance, inductance, and flux linkage on MPCC is analyzed. To address the aggregated disturbance caused by parameter mismatches, a piecewise square-root switching function sliding mode disturbance observer (SMDO) is designed to enhance the robustness of the parameters. To address the poor dynamic performance and inadequate robustness resulting from the proportional-integral-controller (PI) velocity loop control in the MPCC, a novel NSMC velocity control method is proposed. This method utilizes the hyperbolic sine function and fractional-order integral sliding mode surface, resolving the dilemma faced by traditional slide mode controllers (SMC) in balancing fast response and reduced vibration. Additionally, to enhance the system’s disturbance rejection capability, a sliding mode torque observer (SMTO) is designed to continuously update the observed load torque value into the NSMC controller, achieving speed compensation control. Finally, through comparative experiments among the proportional integral controller (PI), SMC, NSMC, and NSMC + SMTO, the results indicate that the proposed NSMC + SMTO exhibits the best speed response, steady-state characteristics, and disturbance rejection capability.
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Li, Hong Ke, Li Zhong Song, Huai Shu Li, Lin Shu Huang, and Yang Yin. "A Study on the Position and Velocity Control of AC Servo System Using Discrete Sliding Mode Predictive Algorithm." Applied Mechanics and Materials 29-32 (August 2010): 2018–24. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.2018.

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The sliding mode predictive controller based on an improved sliding mode reference trajectory is proposed for AC servo systems. On the basis of analysis of servo control systems, the position and velocity control strategy using the sliding mode predictive algorithm is developed. Combining the merits of the sliding mode and predictive control, the algorithm can improve the robustness and eliminate the chattering phenomenon. Moreover, according to the velocity profile during positioning, the sliding mode reference trajectory is designed in accordance with corresponding state motion curves to guarantee the desired dynamic characteristics. Finally, the application experiment is implemented and results demonstrate the feasibility and effectiveness of the proposed control scheme.
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Dounia, Meradi, Abdeslem Benselama Zoubir, and Hedja Ramdane. "A predictive sliding mode control for quadrotor's tracking trajectory subject to wind gusts and uncertainties." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 5 (2022): 4861–75. https://doi.org/10.11591/ijece.v12i5.pp4861-4875.

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In this paper, a predictive sliding mode control (PSMC) strategy for the quadrotors tracking trajectory problem is proposed. This strategy aims to combine the advantages of sliding mode control (SMC) and non-linear model predictive control (NMPC) to improve the tracking control performance for quadrotors in terms of optimality, inputs/states constraints satisfaction, and strong robustness against disturbances. A comparative study of three popular controllers: the SMC, NMPC, and the integral backstepping control (IBC) is performed with different criteria. Accordingly, IBC and SMC show less computational time and strong robustness, while NMPC has minimum control effort. The discrete Dryden turbulence model is used as a benchmark model to represent the wind effect on the trajectory tracking accuracy. The effectiveness of the proposed method PSMC has been proven and compared with discrete-time sliding mode control (DSMC) and NMPC in several scenarios. Simulation results show that under both wind turbulence and time-variant uncertainties, the PSMC outperforms the other controllers by providing simultaneously disturbance rejection and guarantee that the control inputs are within bounded constraints. 
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Raimondo, D. M., M. Rubagotti, C. N. Jones, L. Magni, A. Ferrara, and M. Morari. "Multirate sliding mode disturbance compensation for model predictive control." International Journal of Robust and Nonlinear Control 25, no. 16 (2014): 2984–3003. http://dx.doi.org/10.1002/rnc.3244.

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Dissertations / Theses on the topic "Predictive sliding mode control"

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Nigicser, David. "Predictive vehicle motion control for post-crash scenarios." Thesis, KTH, Reglerteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214389.

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The aim of the project is to design an active safety system forpassenger vehicles for mitigating secondary collisions after an initialimpact. The control objective is to minimize the lateral deviationfrom the known original path while achieving a safe heading angle afterthe initial collision. A hierarchical controller structure is proposed:the higher layer is formulated as a linear time varying model predictivecontroller that denes the virtual control moment input; the lowerlayer deploys a rule-based controller that realizes the requested moment.The designed control system is then tested and validated inSimulink as well as in IPG CarMaker, a high delity vehicle dynamicssimulator.<br>Syftet med projektet är att för personbilar designa ett aktivtsäkerhetssystem för att undvika följdkollisioner efter en första kollision.Målet är att minimera den laterala avvikelsen från den ursprungligafärdvägen och att samtidigt uppnå en säker kurs efter den första kollisionen.En hierarkisk regulatorstruktur föreslås. Det övre skiktet iregulatorn är formulerat som en linjär tidsvarierande modell prediktivkontroller som definierar den virtuella momentinmatningen. Det nedreskiktet använder en regelbaserad regulator som realiserar det begärdamomentet. Det konstruerade styrsystemet testades och validerades sedani Simulink samt i IPG CarMaker, en simulator med hög precisionför fordonsdynamik.
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Basaran, Hasan. "Comparison of Control Approaches for Formation Flying of Two Identical Satellites in Low Earth Orbit." Thesis, KTH, Rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-290182.

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Formation flying of satellites describes a mission in which a set of satellites arrange their position with respect to one another. In this paper, satellite formation flying guidance and control algorithms are investigated in terms of required velocity increment Delta-v, and tracking error for a Chief/Deputy satellite system. Different control methods covering continuous and impulsive laws are implemented and tested for Low Earth Orbit (LEO). Sliding Mode, Feedback Linearization and Model Predictive Controllers are compared to an Impulsive Feedback Law which tracks the mean orbital element differences. Sliding Mode and Feedback Linearization controllers use the same dynamic model which includes Earth Oblateness perturbations. On the other hand, Model Predictive Control with Multi-Objective Cost Function is based on the Clohessy–Wiltshire equations, which do not account for any perturbation and do not cover the eccentricity of the orbit. The comparison was done for two different missions both including Earth Oblateness effects only. A relative orbit mission, which was based on the Prisma Satellite Mission and a rendezvous mission, was implemented. The reference trajectory for the controllers was generated with Yamanaka and Ankersen’s state transition matrix, while a separate method was used for the Impulsive Law. In both of the missions, it was observed that the implemented Impulsive Law outperformed in terms of Delta-v, 1.2 to 3.5 times smaller than the continuous control approaches, while the continuous controllers had a smaller tracking error, 2 to 8.3 times less, both in terms of root mean square error and maximum error in the steady state. Finally, this study shows that the tracking error and Delta-v has inversely proportional relationship.<br>Formationsflygning av satelliter innebär att en grupp satelliter flyger tillsammans och anpassar sina relativa lägen i förhållande till varandra. I detta examensarbete studerades regleralgoritmer för formationsflygande satelliter med fokus på bränsleförbrukning och positionsavvikelse genom ”Chief &amp; Deputy”-metoden. Olika reglermetoder har studerats, t.ex. Sliding Mode- och Feedback Linearization-reglering för formationsflygningsfall i låg jordbana med J2-störning samt en Model Predictive-reglering för fall med relativ rörelse baserad på Clohessy-Wiltshire-ekvationerna. Vidare studerades en reglermetod baserad på impulsframdrivning. De fyra reglermetoderna implementerades på två olika rymduppdrag. Först ett uppdrag baserat på Prisma-satelliterna för två satelliter i relativ omloppsbana och sedan ett Rendezvous-uppdrag. Referensbanan för alla reglermetoder, utom för implusmetoden, har tagits fram med hjälp av Yamanakas och Ankersens tillståndsmatris. Resultaten visar att den implementerade impulsmetoden presterar bättre med avseende på bränsleförbrukning, medan de kontinuerliga reglermetoderna producerade mindre relativ positionsavvikelse, både med avseende på kvadratiskt medelvärde och maximalt värde.
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Couto, Luiz Alberto do. "Implementação e análise das técnicas de controle por modos deslizantes e preditivo não linear." Universidade Federal de Goiás, 2018. http://repositorio.bc.ufg.br/tede/handle/tede/9068.

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Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2018-11-14T12:32:26Z No. of bitstreams: 2 Dissertação - Luiz Alberto do Couto - 2018.pdf: 3388759 bytes, checksum: 70a8308aa7f38be796baef2403a183c3 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2018-11-14T13:00:55Z (GMT) No. of bitstreams: 2 Dissertação - Luiz Alberto do Couto - 2018.pdf: 3388759 bytes, checksum: 70a8308aa7f38be796baef2403a183c3 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Made available in DSpace on 2018-11-14T13:00:55Z (GMT). No. of bitstreams: 2 Dissertação - Luiz Alberto do Couto - 2018.pdf: 3388759 bytes, checksum: 70a8308aa7f38be796baef2403a183c3 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2018-08-31<br>This work presents an implementation and analysis of traction control and linear trepidation techniques, driven by a six - pulse fully controlled three - phase rectifier. The methodology addresses the construction of real reality, modeling by method of system identification, design and tuning of optimization processes. The comparisons between the techniques are their characteristics and their performances when performing statistics, verifying the robustness of the series in non-linear systems. Both techniques perform satisfactory in the execution of the control, correlating with the.<br>Este trabalho apresenta a implementação e análise das técnicas de controle por modos deslizantes e preditivo não linear, aplicados no controle de velocidade de motor de corrente contínua de excitação independente, acionado por retificador trifásico totalmente controlado de seis pulsos. A metodologia aborda a construção da bancada real, modelagem por método de identificação de sistemas, projeto e sintonia dos controladores utilizando processo de otimização. São realizadas comparações entre as referidas técnicas destacando suas características e desempenhos quando executadas em condições semelhantes, verificando a robustez das mesmas atuando em sistemas não lineares. Ambas as técnicas apresentam desempenho satisfatório na execução do controle, dependendo portanto, da análise do sistema a ser implementado para a determinação do método apropriado.
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Majid, Hirsh. "Contribution à l'estimation et à la commande des systèmes de transport intelligents." Thesis, Artois, 2014. http://www.theses.fr/2014ARTO0203/document.

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Les travaux présentés dans ce mémoire de thèse s’inscrivent dans le cadre des Systèmes de TransportIntelligents (STI). Bien que les premières études sur ces systèmes ont commencé dans les années 60, leurdéveloppement reposant sur les techniques de l’information et de la communication, a atteint sa maturitédans le début des années 80. Les STI, sont composés de différents systèmes et intègrent différents concepts(systèmes embarqués, capteurs intelligents, autoroutes intelligentes, . . .) afin d’optimiser le rendementdes infrastructures routières et répondre aux problèmes quotidiens des congestions. Ce mémoire présentequatre contributions dans le cadre du trafic routier et aborde les problèmes de l’estimation et de lacommande afin d’éliminer les problèmes de congestions « récurrentes ». Le premier point traite unproblème crucial dans le domaine des STI qui est celui de l’estimation. En effet, la mise en oeuvre delois de commande pour réguler le trafic impose de disposer de l’ensemble des informations concernantl’évolution de l’état du trafic. Dans ce contexte, deux algorithmes d’estimation sont proposés. Le premierrepose sur l’emploi du modèle METANET et les techniques de modes de glissement d’ordre supérieur. Lesecond est basé sur les CTM (Cell Transmission Models). Plusieurs études comparatives avec les filtresde Kalman sont proposées. La seconde contribution concerne la régulation du trafic. L’accent est mis surle contrôle d’accès isolé en utilisant les algorithmes issus du mode de glissement d’ordre supérieur. Cettecommande est enrichie en introduisant une commande intégrée combinant le contrôle d’accès et le routagedynamique. L’ensemble des résultats, validé par simulation, est ensuite comparé aux stratégies classiquesnotamment le contrôle d’accès avec l’algorithme ALINEA. La troisième contribution traite des problèmesde coordination. En effet, l’objectif est d’appliquer le principe de la commande prédictive pour contrôlerplusieurs rampes d’accès simultanément. L’ensemble des contributions ont été validées en utilisant desdonnées réelles issues en grande partie de mesures effectuées sur des autoroutes françaises. Les résultatsobtenus ont montré un gain substantiel en termes de performances tels que la diminution du trajet, dutemps d’attente, de la consommation énergétique, ainsi que l’augmentation de la vitesse moyenne. Cesrésultats permettent d’envisager plusieurs perspectives nouvelles de développement des recherches dansce domaine susceptibles d’apporter des solutions intéressantes<br>The works presented in this PhD dissertation fit into the framework of Intelligent TransportationSystems. Although the beginnings of these systems have started since the 60s, their development, basedon information and communication technologies, has reached maturity during the early 80s. The ITS usesthe intelligence of different systems (embedded systems, intelligents sensors, intelligents highways, etc.)in order to optimize road infrastructures performances and respond to the daily problems of congestions.The dissertation presents four contributions into the framework of road traffic flow and tackles theestimation and control problems in order to eliminate or at least reduce the “recurrent" congestionsphenomena. The first point treats the problem of traffic state estimation which is of most importance inthe field of ITS. Indeed, the implementation and performance of any control strategy is closely relatedto the ability to have all needed information about the traffic state describing the dynamic behavior ofthe studied system. Two estimation algorithms are then proposed. The first one uses the “metanet"model and high order sliding mode techniques. The second is based on the so-called Cell TransmissionModels. Several comparative studies with the Kalman filters, which are the most used in road traffic flowengineering, are established in order to demonstrate the effectiveness of the proposed approaches. Thethree other contributions concern the problem of traffic flow control. At first, the focus is on the isolatedramp metering using an algorithm based on the high order sliding mode control. The second contributiondeals with the dynamic traffic routing problem based on the high order sliding mode control. Such controlstrategy is enriched by introducing the concept of integration, in the third contribution. Indeed, integratedcontrol consists of a combination of several traffic control algorithms. In this thesis the proposed approachcombines an algorithm of on-ramp control with a dynamic traffic routing control. The obtained results arevalidated via numerical simulations. The validated results of the proposed isolated ramp metering controlare compared with the most used ramp metering strategy : ALINEA. Finally, the last contributiontreats the coordination problems. The objective is to coordinate several ramps which cooperate andchange information in order to optimize the highway traffic flow and reduce the total travel time in theapplied area. All these contributions were validated using real data mostly from French freeways. Theobtained results show substantial gains in term of performances such as travel time, energetic consumptiondecreasing, as well as the increasing in the mean speed. These results allow to consider several furtherworks in order to provide more interesting and efficient solutions in the ITS field
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Rahmani, Mustapha Amine. "Gestion de l'énergie d'une micro-centrale solaire thermodynamique." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENT077/document.

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Cette thèse s'inscrit dans le cadre du projet collaboratif MICROSOL, mené par Schneider Electric, et qui oeuvre pour le développement de micros centrales solaires thermodynamiques destinées à la production d'électricité en sites isolés (non connectés au réseau électrique) en exploitant l'énergie thermique du soleil. Le but de cette thèse étant le développement de lois de commande innovantes et efficaces pour la gestion de l'énergie de deux types de micros centrales solaires thermodynamiques : à base de moteur à cycle de Stirling et à base de machines à Cycle de Rankine Organique (ORC). Dans une première partie, nous considérons une centrale solaire thermodynamique à base de machine à cycle de Stirling hybridée à un supercondensateur comme moyen de stockage d'énergie tampon. Dans ce cadre, nous proposons une première loi de commande validée expérimentalement, associée au système de conversion d'énergie du moteur Stirling, qui dote le système de performances quasi optimales en termes de temps de réponse ce qui permet de réduire la taille du supercondensateur utilisé. Une deuxième loi de commande qui gère explicitement les contraintes du système tout en dotant ce dernier de performances optimales en terme de temps de réponse, est également proposée. Cette dernière loi de commande est en réalité plus qu'un simple contrôleur, elle constitue une méthodologie de contrôle applicable pour une famille de systèmes de conversion de l'énergie.Dans une deuxième partie, nous considérons une centrale solaire thermodynamique à base de machine à cycle de Rankine Organique (ORC) hybridée à un banc de batteries comme moyen de stockage d'énergie tampon. Etant donné que ce système fonctionne à vitesse de rotation fixe pour la génératrice asynchrone qui est connectée à un système de conversion d'énergie commercial, nous proposons une loi de commande prédictive qui agit sur la partie thermodynamique de ce système afin de le faire passer d'un point de fonctionnement à un autre, lors des appels de puissance des charges électriques, le plus rapidement possible (pour réduire le dimensionnement des batteries) tout en respectant les contraintes physiques du système. La loi de commande prédictive développée se base sur un modèle dynamique de la machine ORC identifié expérimentalement grâce à un algorithme d'identification nonlinéaire adéquat<br>This Ph.D thesis was prepared in the scope of the MICROSOL project, ledby Schneider Electric, that aims at developing Off-grid solar thermodynamic micro powerplants exploiting the solar thermal energy. The aim of this thesis being the development of innovative and efficient control strategies for the energy management of two kinds of solar thermodynamic micro power plants: based on Stirling engine and based and Organic RankineCycle (ORC) machines.In a first part, we consider the Stirling based solar thermodynamic micro power planthybridized with a supercapacitor as an energy buffer. Within this framework, we propose afirst experimentally validated control strategy, associated to the energy conversion system ofthe Stirling engine, that endows the system with quasi optimal performances in term of settlingtime enabling the size reduction of the supercapacitor. A second control strategy that handlesexplicitly the system constraints while providing the system with optimal performances interm of settling time , is also proposed. This control strategy is in fact more than a simplecontroller, it is a control framework that holds for a family of energy conversion systems.In a second part, we consider the Organic Rankine Cycle (ORC) based thermodynamicmicro power plant hybridized with a battery bank as an energy buffer. Since this system worksat constant speed for the asynchronous generator electrically connected to a commercial energyconversion system, we propose a model predictive controller that acts on the thermodynamicpart of this system to move from an operating point to another, during the load power demandtransients, as fast as possible (to reduce the size of the battery banks) while respecting thephysical system constraints. The developed predictive controller is based upon a dynamicmodel, for the ORC power plant, identified experimentally thanks to an adequate nonlinearidentification algorithm
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Sigfridsson, Jenny, and Josefin Frisk. "Robotstyrning med metoden Sliding Mode Control." Thesis, Linköping University, Department of Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2813.

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<p>The task in this thesis is the steering of one of Saab Bofors Dynamics robots using Sliding Mode Control, a method they never used before. The robot constitutes a system which in addition to perturbations and uncertainties due to modeling imprecision, hold the difficulty of being highly time variant. In order to be able to keep required performance with uncertainties and modeling imprecision present, the use of robust control methods like Sliding Mode Control is necessary. SMC is based on the states of the system being forced to stay on or in the direct vicinity of a hyper plane in the state space which is chosen in a way that gives the system dynamics desired properties. Other advantages with sliding mode are reduced order dynamics on the switching surface and total insensitivity to some uncertainties and perturbations. The existing metod for controlling the robot is Linear Quadratic Control. To evaluate the SMC-methodology and compare it with the existing solution simulations using SMC and LQ-control are made with uncertainties and modeling imprecision. Our tests show that a control law based on SMC is robust and seems to be a very good alternative to the existing solution.</p>
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Shepit, Blaine M. "Mixed objective LQ/Sliding Mode Control." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0017/MQ49684.pdf.

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Venkataramanan, Ramanarayanan Middlebrook R. D. Ćuk Slobodan. "Sliding mode control of power converters /." Diss., Pasadena, Calif. : California Institute of Technology, 1986. http://resolver.caltech.edu/CaltechETD:etd-09222006-170253.

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Reinsnes, Ståle E. "Stabilization of slugging by sliding mode control." Thesis, Norwegian University of Science and Technology, Department of Engineering Cybernetics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9958.

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<p>The objective of this master thesis is to design, implement, and evaluate sliding mode control (SMC) applied to stabilize slugging using only the downhole pressure as measurement. The pros and cons of the resulting output-feedback sliding mode controller are to be evaluated against the conventional PI controller. The thesis is based on, and a continuation of the work and conclusions of my project thesis, where the conclusion was that the SMC might have a significant potential for increased oil production and recovery. The clear limitation was however the uncertainty regarding the validity of the van Der Pol model used, and the fact that the SMC was provided the real time-derivative states. Therefore the original main tasks of this thesis was to implement a high fidelity simulation model of severe riser slugging, and to design (and test) differentiators with the purpose of evaluating the output-feedback performance of the SMC. As it turn out that I was not able to achieve the task of stabilizing the pressure with SMC on the chosen OLGA model, the focus of this thesis has in agreement with my supervisors been changed quite a lot from the task requested in the project description. Possible reasons for the lack of results, and the chosen focus of the thesis is presented in the introduction chapter. The thereby chosen focus became the task of designing testing differentiators for the SMC, but with testing on the van Der Pol model. Before presenting and arguing for this change of focus in the section about task and limitation, the introduction chapter starts by giving a brief overview of the environment or setting the controlling challenge is a part of, and follows up by presenting the work and conclusion of that project thesis. In the end of the chapter, the structure of the thesis is shortly listed. The introduction is followed up by giving a further insight to the slug problematic. An overview of the historical development, and a description of some research within the field are provided. The last part of the chapter gives a quite thorough description on the riser slugging phenomenon. Thereby the sliding mode controller (SMC) is presented in chapter 3. The challenge concerning chattering is also discussed, and the approach of using boundary layer to suppress the chattering is introduced. In chapter 4, the empirical van der Pol based model is derived, and the model is augmented to use the valve rate as control input. Chapter 6 gives a discussion on why the SMC should be performed on the choke rate and not directly on the choke opening. This section also designs the SMC that will be used for testing, and the needed time-derivatives for testing the SMC are derived. The chosen main focus of this thesis is to evaluate if there is possible to design observers (differentiators) that meets the requirements for the designed SMC to stabilize slugging. The tests are performed on the van Der Pol model. This task is introduced through chapter 7, that present general observer theory, theory about using observers combined with SMC, and finally the two observers chosen for further testing; the high gain observer (HGO) and the robust high-order sliding mode differentiator (RHOSMD). The first stage in evaluating the HGO and RHOSMD is open loop testing, and is described in chapter 8. The observers perform well for the ideal case of no disturbance, but in the presence of measurement noise the conclusion is that estimations of the higher order time-derivatives do likely not meet the very demanding requirements of the SMC. The biggest problem is probably the time-delay of the estimation, but the correctness of the amplitude might also be a problem. In chapter 9 the observers was tested further in a SMC controlled closed loop system to get a more precise indication on how well the observers are fitted for their intended task of providing the SMC with the required estimations. As for the open loop tests, the 'isolated' estimation performance of the required states was considered, but the main focus was the performance of the output-feedback SMC compared to the performance of manual choking, the PI controller, and the performance of the state-feedback SMC. This chapter confirmed the assumption from the open loop testing that in presence of measurement noise, the observers is not able to meet the demanding requirements of the designed SMC. For the theoretical ideal case of no disturbance the results is very good, especially for the HGO. In the case of measurement noise, the RHOSMD perform slightly better. In both chapter 8 and 9, tuning is considered and discussed. However, since the conclusions of the observer testing is negative, the SMC is not tested further. The results will be negative for output-feedback testing, and a quite extensive state-feedback testing of the SMC is performed in the project thesis. The main results and conclusions throughout the thesis, are presented in chapter 10. The chapter also contain a short discussion where it is concluded that the alternative designs, SMC with direct choke rate control and SMC of the choke acceleration, will not be a solution on the state-feedback SMC problems described in this thesis. There is also a short discussion regarding CPU and system requirements for the observers and the controller. At the very end, further work is discussed.</p>
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Bag, Sujit Kumar. "Robust sliding mode control using output information." Thesis, University of Leicester, 1997. http://hdl.handle.net/2381/30166.

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The thesis considers the development of robust output feedback sliding mode controllers for linear time invariant uncertain systems where output information alone is available to the controller. Two approaches to controller design are discussed. The first uses only the plant dynamics and is called static output feedback sliding mode control. It is shown that a quadratically stable sliding motion may be attained for a bounded uncertain system if and only if the system is minimum phase and a particular subsystem triple satisfies the output feedback design criteria. Sliding mode controllers are sensitive to unmatched uncertainty. Hence a robust design is considered which minimises the effect of uncertainty. The second approach is developed for systems which have design difficulties when only the plant dynamics are considered. Extra dynamics are added and the method is called dynamic output feedback sliding mode control. Closed-loop analysis is carried out and stability of the augmented system is observed. Both controllers guarantee a stable sliding motion despite the presence of bounded uncertainty. Finally, two practical uncertain multivariate industrial examples demonstrate the theoretical developments. The first application is a helicopter model. The open loop dynamics have unstable poles with two stable invariant zeros, variations in model parameters and exhibit high levels of cross coupling. A model following sliding mode controller is used to force the plant outputs to track the outputs of an ideal model. Nonlinear simulation results show the practicality of the method. The second application considers the dynamic output feedback sliding mode control of an aircraft model. The system possesses unstable invariant zeros and requires a dynamic output feedback technique. Simulation results are obtained at different operating points to show the effect of unstable invariant zeros. The examples illustrate the benefits of these robust output feedback based sliding mode control developments.
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Books on the topic "Predictive sliding mode control"

1

Sira-Ramírez, Hebertt. Sliding Mode Control. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17257-6.

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Bandyopadhyay, Bijnan, Fulwani Deepak, and Kyung-Soo Kim. Sliding Mode Control Using Novel Sliding Surfaces. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03448-0.

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Soo, Kim Kyung, Deepak Fulwani, and SpringerLink (Online service), eds. Sliding mode control using novel sliding surfaces. Springer Verlag, 2009.

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Bartolini, Giorgio, Leonid Fridman, Alessandro Pisano, and Elio Usai, eds. Modern Sliding Mode Control Theory. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79016-7.

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Shtessel, Yuri, Christopher Edwards, Leonid Fridman, and Arie Levant. Sliding Mode Control and Observation. Springer New York, 2014. http://dx.doi.org/10.1007/978-0-8176-4893-0.

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Bandyopadhyay, Bijnan, and Abhisek K. Behera. Event-Triggered Sliding Mode Control. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74219-9.

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Bandyopadhyay, B., S. Janardhanan, and Sarah K. Spurgeon, eds. Advances in Sliding Mode Control. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36986-5.

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Derbel, Nabil, Jawhar Ghommam, and Quanmin Zhu, eds. Applications of Sliding Mode Control. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2374-3.

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Wilfrid, Perruquetti, and Barbot Jean Pierre 1958-, eds. Sliding mode control in engineering. M. Dekker, 2002.

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Ahmed, Mohammad. Sliding mode control for switched mode power supplies. Lappeenranta University of Technology, 2004.

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Book chapters on the topic "Predictive sliding mode control"

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Ben Mansour, Houda, Khadija Dehri, and Ahmed Said Nouri. "Comparison Between Predictive Sliding Mode Control and Sliding Mode Control with Predictive Sliding Function." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48929-2_7.

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Xu, Qingsong, and Kok Kiong Tan. "Model Predictive Discrete-Time Sliding-Mode Control." In Advances in Industrial Control. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21623-2_4.

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Xu, Qingsong, and Kok Kiong Tan. "Model Predictive Output Integral Discrete-Time Sliding-Mode Control." In Advances in Industrial Control. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21623-2_5.

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Han, Yaofei, Chao Gong, and Jinqiu Gao. "Observer-Based Robustness Improvement for FCS-MPCC Used in IMs." In Model Predictive Control for AC Motors. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8066-3_2.

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AbstractThis Chapter proposes a sliding mode (SM) disturbance observer based finite control set model predictive current control (FCS-MPCC) strategy to improve the control performance of induction motors. FCS-MPCC method is achieved based on the machine model, leading to the fact that the parameters have great impacts on the control performance, especially the steady-state characteristics.
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Xu, Qingsong, and Kok Kiong Tan. "Digital Sliding-Mode Prediction Control." In Advances in Industrial Control. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21623-2_8.

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Jang, Seok-ho, and Henzeh Leeghim. "Model Predictive Sliding Mode Control with Neural Network for UAVs." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2635-8_60.

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Oliveira, Josenalde, José Boaventura-Cunha, Paulo Moura Oliveira, and Hélio F. Freire. "Sliding Mode Generalized Predictive Control Based on Dual Optimization." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10380-8_9.

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Cong, Hanghang, Yong Yang, Youcheng Wang, et al. "A Sliding-Mode Predictive Control of Permanent Magnet Synchronous Motor." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2456-0_49.

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Bakhti, Mohammed, Lahssan Ben Tarla, Badr Bououlid Idrissi, and Mourad Zegrari. "Sliding Mode Observer Based Adaptive Model Predictive Control for a Disturbed Flexible Manipulator Active Vibration Control." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0126-1_29.

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Guo, Qian, and Tianhong Pan. "A Predictive Speed Control Method Based on Sliding Mode Model for PMSM Drive System." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9050-1_58.

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Conference papers on the topic "Predictive sliding mode control"

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Lai, Yanchen, and Qiang fu. "Sliding mode and dual vector model predictive current control of PMSM." In Ninth International Conference on Energy System, Electricity and Power (ESEP 2024), edited by Mohan Lal Kolhe, Yunfei Mu, Ze Cheng, and Qian Xiao. SPIE, 2025. https://doi.org/10.1117/12.3060072.

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Guo, Yingcong, Wei Xu, Han Xiao, and Jian Ge. "Nonparametric Sliding Mode Predictive Current Control for Linear Induction Motor." In 2024 IEEE China International Youth Conference on Electrical Engineering (CIYCEE). IEEE, 2024. https://doi.org/10.1109/ciycee63099.2024.10846739.

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Kumar, Kasoju Bharath, and Kunisetti V. Praveen Kumar. "Sliding Mode Observer Based Predictive Torque Control of PMa-SynRM." In 2024 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE, 2024. https://doi.org/10.1109/pedes61459.2024.10961220.

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Zhou, Wei, Yao Zhao, Tingyong Wang, and Chao Zhao. "Sliding mode estimation model predictive power control for PWM rectifiers without voltage sensors." In 2024 5th International Conference on Artificial Intelligence and Electromechanical Automation (AIEA). IEEE, 2024. http://dx.doi.org/10.1109/aiea62095.2024.10692633.

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Hu, Shilin, Yuchuan Liu, Xinran Guo, Weidong Zhao, Ronghu Chi, and Wenlong Yao. "Model-free adaptive sliding mode compensation predictive control of PMSM based on load prediction for energy saving." In 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). IEEE, 2025. https://doi.org/10.1109/ddcls66240.2025.11065977.

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Komiyama, Shunsuke, Kenji Uchiyama, and Kai Masuda. "Robust Controller Design for Quadrotor Using Model Predictive Control and Adaptive Super Twisting Sliding Mode Control." In 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2024. http://dx.doi.org/10.1109/codit62066.2024.10708367.

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Mamashli, Mohammadreza, and Mohsin Jamil. "Model Predictive Current Control Combined Sliding Mode Control for Flux Switch Permanent Magnet Machine Drive System." In IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2024. https://doi.org/10.1109/iecon55916.2024.10905480.

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Fathoni, Khoirudin, Rizky Ajie Aprilianto, Mario Norman Syah, Abdurrakhman Hamid Al-Azhari, and Agus Suryanto. "Model Free Predictive Current Control Based on Sliding Mode Observer for BLDC Motor Drive." In 2024 Seventh International Conference on Vocational Education and Electrical Engineering (ICVEE). IEEE, 2024. https://doi.org/10.1109/icvee63912.2024.10823833.

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Steinberger, Martin, Ismael Castillo, Martin Horn, and Leonid Fridman. "Model predictive output integral sliding mode control." In 2016 14th International Workshop on Variable Structure Systems (VSS). IEEE, 2016. http://dx.doi.org/10.1109/vss.2016.7506921.

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Carrejo, C. E., E. Vidal-Idiarte, L. Martinez-Salamero, and J. Calvente. "Predictive Digital Sliding-Mode Current Control." In 2007 IEEE International Symposium on Industrial Electronics. IEEE, 2007. http://dx.doi.org/10.1109/isie.2007.4375004.

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Reports on the topic "Predictive sliding mode control"

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Verghese, George C., Benito Fernandez, and J. K. Hedrick. Stable, Robust Tracking by Sliding Mode Control,. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada188278.

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Wells, Scott R. Sliding Mode Control Applied to Reconfigurable Flight Control Design. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada398917.

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Sagimori, Kenji, Mitsunobu Kajitani, Shinji Niwa, and Kenji Nakajima. Development of the EGR Control Using Sliding Mode Control. SAE International, 2005. http://dx.doi.org/10.4271/2005-08-0637.

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